Abstract:We present a pilot library of synthetic NUV, U, B, V, and I photometry of star clusters with stochastically sampled IMFs and ionized gas for initial masses, Mi = 103, 104, and 105 M⊙; t = 1, 3, 4, and 8 Myr; Z = 0.014 and Z = 0.002; and log(US) = −2 and −3. We compare the library with predictions from deterministic models and observations of isolated low-mass (<104 M⊙) star clusters with co-spatial compact H ii regions. The clusters are located in NGC 7793, one of the nearest galaxies observed as part o… Show more
“…As in (Hannon et al 2019), we also observe manifestations of stochastic sampling of the IMF. Most notably, the positions of our clusters in UBVI space are consistent with those predicted by the stochastic modeling of low-mass clusters by Fouesneau & Lançon (2010), Fouesneau et al (2012), and also Orozco-Duarte et al (2022). Figure 2 of Fouesneau et al (2012) provides an example of these predicted positions in the same color space as Figure 6, highlighted by a spray of points to the lower-right of the 10 Myr point of the model SSP track.…”
Section: H𝛼 Morphologies and Ubvi Color-color Diagramsupporting
confidence: 79%
“…With a median cluster mass of ∼1000 M , we find that the reddening of clusters without H𝛼 are likely overestimated due to the presence of bright red stars, a result of stochastic sampling of the IMF. We also see clusters with concentrated H𝛼 which are found blueward of the young end of the SSP models, potentially due to additional contributions from nebular emission (Zackrisson et al 2001), or the presence of two or more Wolf-Rayet stars (type WC or WNE; see Orozco-Duarte et al 2022). These latter stochastic sampling effects instead have a bias toward bluer colors, and thus lower E(B-V).…”
The analysis of star cluster ages in tandem with the morphology of their HII regions can provide insight into the processes that clear a cluster's natal gas, as well as the accuracy of cluster ages and dust reddening derived from Spectral Energy Distribution (SED) fitting. We classify 3757 star clusters in 16 nearby galaxies according to their H𝛼 morphology (concentrated, partially exposed, no emission), using Hubble Space Telescope (HST) imaging from the Legacy ExtraGalactic Ultraviolet Survey (LEGUS). We find: 1) The mean SED ages of clusters with concentrated (1-2 Myr) and partially exposed HII region morphologies (2-3 Myr) indicate a relatively early onset of gas clearing and a short (1-2 Myr) clearing timescale.2) The reddening of clusters can be overestimated due to the presence of red supergiants, which is a result of stochastic sampling of the IMF in low mass clusters. 3) The age-reddening degeneracy impacts the results of the SED fitting -out of 1408 clusters with 𝑀 * ≥ 5000 M , we find that at least 46 (3%) have SED ages which appear significantly underestimated or overestimated based on H𝛼 and their environment, while the total percentage of poor age estimates is expected to be several times larger. 4) Lastly, we examine the dependence of the morphological classifications on spatial resolution. At HST resolution, our conclusions are robust to the distance range spanned by the sample (3-10 Mpc). However, analysis of groundbased H𝛼 images shows that compact and partially exposed morphologies frequently cannot be distinguished from each other.
“…As in (Hannon et al 2019), we also observe manifestations of stochastic sampling of the IMF. Most notably, the positions of our clusters in UBVI space are consistent with those predicted by the stochastic modeling of low-mass clusters by Fouesneau & Lançon (2010), Fouesneau et al (2012), and also Orozco-Duarte et al (2022). Figure 2 of Fouesneau et al (2012) provides an example of these predicted positions in the same color space as Figure 6, highlighted by a spray of points to the lower-right of the 10 Myr point of the model SSP track.…”
Section: H𝛼 Morphologies and Ubvi Color-color Diagramsupporting
confidence: 79%
“…With a median cluster mass of ∼1000 M , we find that the reddening of clusters without H𝛼 are likely overestimated due to the presence of bright red stars, a result of stochastic sampling of the IMF. We also see clusters with concentrated H𝛼 which are found blueward of the young end of the SSP models, potentially due to additional contributions from nebular emission (Zackrisson et al 2001), or the presence of two or more Wolf-Rayet stars (type WC or WNE; see Orozco-Duarte et al 2022). These latter stochastic sampling effects instead have a bias toward bluer colors, and thus lower E(B-V).…”
The analysis of star cluster ages in tandem with the morphology of their HII regions can provide insight into the processes that clear a cluster's natal gas, as well as the accuracy of cluster ages and dust reddening derived from Spectral Energy Distribution (SED) fitting. We classify 3757 star clusters in 16 nearby galaxies according to their H𝛼 morphology (concentrated, partially exposed, no emission), using Hubble Space Telescope (HST) imaging from the Legacy ExtraGalactic Ultraviolet Survey (LEGUS). We find: 1) The mean SED ages of clusters with concentrated (1-2 Myr) and partially exposed HII region morphologies (2-3 Myr) indicate a relatively early onset of gas clearing and a short (1-2 Myr) clearing timescale.2) The reddening of clusters can be overestimated due to the presence of red supergiants, which is a result of stochastic sampling of the IMF in low mass clusters. 3) The age-reddening degeneracy impacts the results of the SED fitting -out of 1408 clusters with 𝑀 * ≥ 5000 M , we find that at least 46 (3%) have SED ages which appear significantly underestimated or overestimated based on H𝛼 and their environment, while the total percentage of poor age estimates is expected to be several times larger. 4) Lastly, we examine the dependence of the morphological classifications on spatial resolution. At HST resolution, our conclusions are robust to the distance range spanned by the sample (3-10 Mpc). However, analysis of groundbased H𝛼 images shows that compact and partially exposed morphologies frequently cannot be distinguished from each other.
“…Charlot and Bruzual (C&B) models). Even though the C&B models have been used by several authors (e.g., Mayya et al 2020;Werle et al 2020;González Delgado et al 2021;Senchyna et al 2021;Orozco-Duarte et al 2022;Senchyna et al 2022;Werle et al 2022), a detailed description of the ingredients of these models is lacking in the literature. For completeness, and for the benefit of the reader, we summarize in this appendix the characteristics of these C&B models.…”
We present here the analysis performed using the pyPipe3D pipeline for the final MaNGA data set included in the Sloan Digital Sky Survey data release 17. This data set comprises more than 10,000 individual data cubes, being the integral field spectroscopic (IFS) galaxy survey with the largest number of galaxies. pyPipe3D processes the IFS data cubes to extract spatially resolved spectroscopic properties of both the stellar population and the ionized gas emission lines. A brief summary of the properties of the sample and the characteristics of the analyzed data are included. The article provides details of: (i) the analysis performed; (ii) a description of the pipeline; (iii) the adopted stellar population library; (iv) the morphological and photometric analysis; (v) the adopted data model for the spatially resolved properties derived; and (vi) the individual integrated and characteristic galaxy properties included in the final catalog. Comparisons with the results from a previous version of the pipeline for earlier data releases and from other tools using this data set are included. A practical example of how to use the full data set and the final catalog illustrates how to handle the delivered product. Our full analysis can be accessed and downloaded from our web page.
“…We do not propagate the effect of a potential ∼5% uncertainty in distance in our distance-dependent estimates. Fumagalli et al 2011;Orozco-Duarte et al 2022). The situation is further complicated when binary evolution is included (Eldridge 2012).…”
Section: Integrated Star Formation Ratesmentioning
The NGC 346 young stellar system and associated N66 giant HII region in the Small Magellanic Cloud are the nearest example of a massive star forming event in a low metallicity (Z ≈ 0.2Z ) galaxy. With an age of 3 Myr this system provides a unique opportunity to study relationships between massive stars and their associated HII region. Using archival data, we derive a total Hα luminosity of L(Hα)=4.1×10 38 erg s −1 corresponding to an H-photoionization rate of 3×10 50 s −1 . A comparison with a predicted stellar ionization rate derived from the more than 50 known O-stars in NGC 346, including massive stars recently classified from HST FUV spectra, indicates an approximate ionization balance. Spectra obtained with SALT suggest the ionization structure of N66 could be consistent with some leakage of ionizing photons. Due to the low metallicity, the far ultraviolet luminosity from NGC 346 is not confined to the interstellar cloud associated with N66. Ionization extends through much of the spatial extent of the N66 cloud complex, and most of the cloud mass is not ionized. The stellar mass estimated from nebular L(Hα) appears to be lower than masses derived from the census of resolved stars which may indicate a disconnect between the formation of high and low mass stars in this region. We briefly discuss implications of the properties of N66 for studies of star formation and stellar feedback in low metallicity environments.
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